Triple
T22566399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paychex |
E557961
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Gusto |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gusto | Statement: [Paychex, competitor, Gusto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gusto Context triple: [Paychex, competitor, Gusto]
-
A.
Gusto
chosen
Gusto is a cloud-based payroll, benefits, and human resources platform designed primarily for small and medium-sized businesses.
-
B.
Lusta
Lusta is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
-
C.
Gustchen
Gustchen is a character from Jakob Michael Reinhold Lenz’s play "Der Hofmeister," known as one of its notable figures.
-
D.
Ossuccio
Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
-
E.
Alegria
Alegria is a coastal municipality in the province of Cebu in the Philippines, known for its natural attractions and rural charm.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15faaa0b081908d5aa8f3ba1e3dd3 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.